Explore probability distributions, sampling methods, and the fundamentals of statistical inference to make confident business decisions. Learn how to estimate population parameters and test hypotheses using real-world business data.
This course delves into probability theory, common probability distributions, and the principles of sampling in business research. Learners will understand how to construct and interpret confidence intervals, and how to apply hypothesis testing to answer business questions. The course provides a comprehensive introduction to inferential statistics, enabling learners to draw meaningful conclusions from sample data and assess uncertainty in business contexts. The course uses step-by-step explanations, practical business scenarios, and targeted quizzes to help learners master probability, sampling, and inference. Focus is placed on building intuition for statistical reasoning and applying these concepts to real business problems. This course is part two of a three-course Specialization designed to build a complete and cohesive understanding of the subject. While it offers valuable skills on its own, you'll gain the most benefit by progressing through all three courses as a structured learning journey. This course is based on A Step-by-Step Introduction to Statistics for Business, by Richard N. Landers. Copyright ©2019 by Sage Publications Limited. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies. Published by Sage Publications Limited, London. Used by arrangement with Sage Publications Limited.
